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Probabilistic Graphical Models for Computer Vision. - Qiang Ji

Anglų
2019-12-13
147,44 € 196,58 €

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Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established ... Visas aprašymas

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Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants.

Daugiau informacijos

Autorius Qiang Ji
Leidėjas Elsevier
Išleidimo metai 2019
Viršelio tipas Kieti viršeliai
EAN 9780128034675
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147,44 € 196,58 €